47 citations · 126 across the 7 of their papers we have counts for
7 papers
Luminance Component Analysis for Exposure Correction
Jingchao Peng, Thomas Bashford-Rogers, Jingkun Chen +3
Exposure correction methods aim to adjust the luminance while maintaining other luminance-unrelated information. However, current exposure correction methods have difficulty in ful…
Object Preserving Siamese Network for Single Object Tracking on Point Clouds
Kaijie Zhao, Haitao Zhao, Zhongze Wang +2
Obviously, the object is the key factor of the 3D single object tracking (SOT) task. However, previous Siamese-based trackers overlook the negative effects brought by randomly drop…
DRPN: Making CNN Dynamically Handle Scale Variation
Jingchao Peng, Haitao Zhao, Zhengwei Hu +2
Based on our observations of infrared targets, serious scale variation along within sequence frames has high-frequently occurred. In this paper, we propose a dynamic re-parameteriz…
Dynamic Fusion Network for RGBT Tracking
Jingchao Peng, Haitao Zhao, Zhengwei Hu
For both visible and infrared images have their own advantages and disadvantages, RGBT tracking has attracted more and more attention. The key points of RGBT tracking lie in featur…
Second-Order Component Analysis for Fault Detection
Peng Jingchao, Zhao Haitao, Hu Zhengwei
Process monitoring based on neural networks is getting more and more attention. Compared with classical neural networks, high-order neural networks have natural advantages in deali…
Siamese Infrared and Visible Light Fusion Network for RGB-T Tracking
Peng Jingchao, Zhao Haitao, Hu Zhengwei +2
Due to the different photosensitive properties of infrared and visible light, the registered RGB-T image pairs shot in the same scene exhibit quite different characteristics. This…
Attention-based Context Aggregation Network for Monocular Depth Estimation
Yuru Chen, Haitao Zhao, Zhengwei Hu
Depth estimation is a traditional computer vision task, which plays a crucial role in understanding 3D scene geometry. Recently, deep-convolutional-neural-networks based methods ha…